Plant Soil (2006) 284:1–5 DOI 10.1007/s11104-006-0047-7
COMMENTARY
Partitioning the components of soil respiration: a research challenge E. M. Baggs
Received: 18 January 2006 / Accepted: 23 February 2006 Ó Springer Science+Business Media B.V. 2006
Abstract Little is known about the respiratory components of CO2 emitted from soils and attaining a reliable quantification of the contribution of root respiration remains one of the major challenges facing ecosystem research. Resolving this would provide major advances in our ability to predict ecosystem responses to climate change. The merits and technical and theoretical difficulties associated with different approaches adopted for partitioning respiration components are discussed here. The way forward is suggested to be the development of non-invasive regression analysis validated by stable isotope approaches to increase the sensitivity of model functions to include components of rhizosphere microbial activity, changing root biomass and the dynamics of a wide range of soil C pools. Keywords CO2 flux Æ CO2 partitioning Æ Heterotrophic respiration Æ Root respiration Æ Soil respiration
Section Editor: A. Hodge. E. M. Baggs (&) School of Biological Sciences (Plant and Soil Science), University of Aberdeen, Cruickshank Building, St Machar Drive, AB24 3UU, Aberdeen, UK e-mail:
[email protected]
Why partition soil respiration? The global CO2 flux from soils is estimated to be within the range of 64–72 Gt C y)1, accounting for 20–38% of annual input of CO2–C to the atmosphere from terrestrial and marine sources (Raich and Schlesinger 1992), and is therefore an important regulator of climate change as well as determinant of net ecosystem C balance. Despite recent advances in analytical techniques, still little is known about the respiratory components comprising this emission, mainly due to problems in separating root (usually root and rhizosphere) respiration, generally referred to as autotrophic, from that of heterotrophic microorganisms utilising pre-formed C compounds. Although root respiration is thought to significantly contribute to net CO2 fluxes from soils (e.g. Cisneros-Dozal et al. 2006; Epron et al. 1999; Hendricks et al. 1993; Ho¨gberg et al. 2001; Raich and Schlesinger 1992), reliable and reproducible quantification of this contribution remains elusive, and is one of the major challenges facing ecosystems research. It is important to resolve this as root associated (autotrophic) and bulk soil respiration have been shown to respond differently to increasing temperature, exhibiting different Q10 values (Boone et al. 1998; Rey et al. 2002), thereby possibly altering the net C flux from soils, and the potential for C sequestration, providing important feedbacks for climate change (Davidson et al. 2000; Melillo et al. 2002). Increases in root and rhizosphere respiration may reflect increased C inputs to the soil
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through photosynthesis (Ho¨gberg et al. 2001), specific root activity, or root biomass (Gregory 2006), whereas increased heterotrophic respiration may reduce the potential for C storage in the soil (Grace 2004). Thus quantifying the components of net soil respiration is vital for the prediction of ecosystem response to climate change, and for understanding the nature and extent of feedbacks between climate change and soil processes, and it is essential that the components of soil respiration are entered into climate change models separately. The contribution of root respiration has been estimated to be anywhere between 10 and 90% of the total net CO2 flux (Hanson et al. 2000). Bond-Lamberty et al. (2004) in part attribute this large variability to technical and theoretical problems associated with the different methods adopted for partitioning the respiration components, although it is difficult to say to what extent this masks underlying variability within or between ecosystems. Rodeghiero and Cescatti (2006, this issue) adopt an indirect approach to partitioning, using regression analysis to show that autotrophic respiration accounted for between 16 and 58% of total CO2 emission in seven evergreen forest ecosystems, with a lower contribution estimated with comparatively higher soil N availability. The advantage of such an approach is that it is non-invasive, and in that sense overcomes the main problem associated with methodologies for direct determination. To fully assess its merits and limitations it should, however, be considered in light of other conventional direct approaches.
Direct determination of root respiration These are traditionally subdivided into component integration, root exclusion and isotope labelling techniques and are reviewed in detail by Hanson et al. (2000) and Kuzyakov and Larionova (2005). Each of these involves disturbing the root–soil system to some extent, which in itself raises uncertainties as to the validity of results. In component integration CO2 emission is determined from different soil fractions, and their respective masses multiplied to give a total CO2 flux. The component emissions are usually considered validated if the additive emission is the same as that measured in situ, and heterotrophic activity is sometimes estimated by difference
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between the total CO2 flux, and root and litter components (e.g. Edwards and Harris 1977). A major problem with this approach is that root respiration rates are only measured in vitro, and removal and separation of soil components represents significant soil disturbance particularly of the root–soil interface, altering the soil atmosphere, and often separating roots from most of their associated microbial community (Trumbore 2006). A further development of the component integration method is a modification of the substrate-induced respiration approach of Anderson and Domsch (1978) to estimate autotrophic and heterotrophic respiration. The contribution of heterotrophic respiration is assumed to increase after addition of glucose to soil, but the autotrophic respiration assumed to remain unaltered (Ekblad and Ho¨gberg 2000). However, as with the component integration method, this approach involves disturbance of the soil system, and changes in the proportional contributions of the respiration components, particularly that of autotrophic respiration, when glucose is added in solution and roots are wetted (Kuzyakov and Larionova 2005). The main problem associated with root exclusion methodologies for determining respiration in the presence and absence of roots, is that soil disturbance increases CO2 emission, which either needs to be taken account of, or measurements delayed until after the system has returned to equilibrium (Bowden et al. 1993; Edwards 1991). Root removal experiments involve soil being placed back in situ after root removal, and further root growth prevented by barriers (e.g. Thierron and Laudelout 1996), whereas in trenching experiments existing roots are severed, but not removed, and a barrier is installed to inhibit future root growth (Boone et al. 1998; Bowden et al. 1993). However, soil water content tends to be greater after root severance or removal, affecting decomposition and respiration rates and microbial C and N pools (Hanson et al. 2000; Kuzyakov and Larionova 2005) and soil temperature can also be increased following the vegetation removal associated with clear cutting (Blet-Charaudeau et al. 1990; Brumme 1995). An increase in dead roots for heterotrophic decomposition occurs after clear cutting, along with removal of the continuous input of root exudates and other labile C compounds to soil. Arguably the most accurate, but certainly the most expensive, technique for partitioning the components
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of respiration is that of isotopic (14C or 13C) labelling. This typically takes the form of pulse (single or repeated) (e.g. Cheng et al. 1993; Gorissen et al. 1996; Rouhier et al. 1996) or continuous labelling (e.g. Liljeroth et al. 1994) through the plant, allowing in situ partitioning between root and soil respiration without the need for disturbance. 14C-labelling experiments have shown that an average of 14% of photosynthetically fixed C in perennial plants is lost as root respiration (Nguyen 2003). Short-term pulse labelling through the plant is advantageous because it reduces soil–plant disturbance, costs and experimental complexity, but it may poorly represent the range of C pools of interest as labile C compounds in the plant are preferentially labelled (Kuhns and Gjerstad 1991; Meharg and Killham 1988). Typically the labelled C within the plant is determined, and the root respiration estimated from the difference between that assimilated and that present in the biomass and soil at the time of measurement (Meharg and Killham 1988; Swinnen et al. 1994). The time period between label application and measurement is critical (Paterson et al. 1997) and preferential labelling of labile plant C compounds may result in an overestimate of root respiration of labelled C (Meharg and Killham 1988). Due to changes in plant C allocation over the growing season (Gregory and Atwell 1991), repeated pulse labelling is required to estimate the contribution of root respiration to annual CO2 fluxes from soil. The labelling of soil organic matter itself to partition respiration is contentious, as organic compounds, such as 14C-labelled glucose, may be subject to resorption by roots (Jones and Darrah 1992) meaning that measured 14C-CO2 may be derived from root as well as soil respiration. Continuous labelling, or application of the label over time periods comparable to that of the plant, may provide a more homogenous labelling of plant C pools. However, this has been criticised because it is not well suited to studying transient plant C dynamics, the equipment for this labelling is expensive for field studies, and over time the organic matter isotopic signature will be similar to that of the labelled plants, making a distinction between root respiration and soil respiration increasingly impossible (Meharg 1994). Alternative methods have been used, such as differentiating between the respiration of C4 plants from that of decomposition of C3-derived soil organic matter (Robinson and Scrimgeour 1995; Rochette and
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Flanagan 1997), or C4- organic compounds from that of C3-plant-derived C (Ekblad and Ho¨gberg 2000), or applying CO2 at elevated concentrations (Andrews et al. 1999; Rouhier et al. 1996). Natural abundance 13 C signatures have been used to differentiate between sources of respiration (Dawson et al. 2002) as C respired by plants tends to be enriched in 13C, but heterotrophically derived CO2 is depleted in 13C, depending on fractionation processes (Trumbore 2006). However, as 13C signatures can change rapidly, a quantification of respiration components in unlikely with this approach. The tracing of ‘‘bomb’’ 14C has also recently been used to estimate autotrophic and heterotrophic sources of soil respiration (Borken et al. 2006; Trumbore et al. 2006).
Indirect determination of root respiration by regression analysis The regression analysis technique for partitioning soil CO2 fluxes is non-invasive, and can give an approximate quantification of root respiration to total soil respiration. Heterotrophic respiration is estimated from the y-intercept of the linear regression between surface CO2 fluxes and root biomass i.e. in the absence of roots. With this approach heterotrophic respiration is traditionally assumed, for simplification, to be spatially homogenous (Xu et al. 2001). What is most interesting about the results presented by Rodeghiero and Cescatti (2006) is that they provide a significant step forward in the development of this analysis by accounting for spatial heterogeneity and temporal variations in heterotrophic respiration in soil. This is likely to be significant due to heterogeneity of soil C, especially in the forest systems which the authors used to validate their approach, and because soil respiration varies spatially depending on C substrate proximity, seasonally and in response to plant phenology and root growth. They express the CO2 flux as the sum of the autotrophic and heterotrophic respiration, being linearly dependent on density of roots of 2–5 mm diameter, and soil C content to a depth of 30 cm. Different soil temperatures on different sampling dates facilitated investigation of the thermal and temporal dependencies of autotrophic and heterotrophic respiration. This is the first time that temporal variation in root respiration has been considered in such indirect analytical separation of
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CO2 flux components and opens up opportunities for modelling soil respiration processes. As with any model serving to simplify a system this approach has its limitations. The separation method employed by Rodeghiero and Cescatti (2006) appears to be only suitable for sites where there is sufficient heterogeneity in both root density and soil C, and different coefficients of regression will need to be established when taking this methodology to different sites. The authors made no attempt to quantify changes in the fine root biomass to validate their model, but assumed, based on reports of Gill & Jackson (2000), that this biomass did not change over the year and therefore that this source of error would be negligible.
The way forward Partitioning of CO2 emission into root and soil respiration, by its very nature, oversimplifies the sources of CO2 emitted from soil. Root respiration is typically taken as a combination of all processes occurring in the rhizosphere, encompassing live-root respiration, mycorrhizal respiration and the activity of microorganisms utilising labile C derived from plant roots, and therefore includes a heterotrophic component. The boundary between autotrophic and heterotrophic respiration becomes even more blurred when considering mycorrhizal fungi obtaining C via symbiosis with plants, with uncertainties as to where the autotrophic respiration ends and the heterotrophic respiration begins. Differentiation of these rhizosphere components to attribute true autotrophic and heterotrophic contributions is a further challenge for ecosystem research, but can now be realised utilising recent developments in stable isotope techniques, such as stable isotope probing of nucleic acids (e.g. Rangel-Castro et al. 2005). Whilst regression analysis certainly has its place in the further development of techniques for partitioning soil respiration, advances in such indirect non-invasive estimates need to be validated by the most accurate direct approaches possible, such a stable isotope techniques. The challenge now for indirect approaches is to increase the sensitivity of the model functions to include the influence of rhizosphere microbial activity and community structure on these fluxes, effects of changing environmental conditions, and changes
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in root biomass and C input over time. There is also need to encompass the dynamics of the whole range of soil C pools, including slow C turnover in soil, which is more likely to be important in C sequestration. Acknowledgement The author’s work is supported by an Advanced Research Fellowship awarded by the Natural Environment Research Council (NERC), U.K.
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